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What is Dynamic Customer Segmentation in Python about?

Dynamic customer segmentation using unsupervised machine learning helps businesses identify customer behavior patterns, enabling targeted marketing and personalized experiences. Key processes include data collection, cleaning, and feature engineering, with algorithms like K-means clustering used for analysis. The approach is applicable across various industries, including retail and finance, to enhance customer satisfaction and drive informed decision-making.

Author

vaishnavi Nesam.k

Language

EN